A Review on Near-Duplicate Detection of Images using Computer Vision Techniques-Reference-Cited by-同舟云学术

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A Review on Near-Duplicate Detection of Images using Computer Vision Techniques

Published:2020-01-06 Issue:3 Volume:28 Page:897-916
ISSN:1134-3060
Container-title:Archives of Computational Methods in Engineering
language:en
Short-container-title:Arch Computat Methods Eng

Author:

Thyagharajan K. K.^ORCID,Kalaiarasi G.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11831-020-09400-w.pdf

Reference118 articles.

1. Jegou H, Douze M, Schmid C (2008) Hamming embedding and weak geometry consistency for large scale image search. In: Proceedings of the 10th European conference on computer vision. https://doi.org/10.1007/978-3-540-88682-2_24

2. Jinda-Apiraksa A, Vonikakis V,Winkler S (2013) California-ND: an annotated dataset for near- duplicate detection in personal photo collections. In: Proceedings in 5th international workshop on quality of multimedia experience (QoMEX), Klagenfurt, Austria. https://doi.org/10.1109/QoMEX.2013.6603227

3. Wen B, Zhu Y, Subramanian R, Ng TT, Shen X, Winkler S (2016) COVERAGE—a novel database for copy-move forgery Detection. In: IEEE international conference on image processing (ICIP), Phoenix, AZ, USA, pp 161–165. https://doi.org/10.1109/ICIP.2016.7532339

4. Giuseppe Toys dataset. http://www.vision.caltech.edu/pmoreels/Datasets/Giuseppe_Toys_03/. Accessed 14 Jul 2018

5. Chum O, Philbin J, Isard M, Zisserman A (2007) Scalable near identical image and shot detection. In: Proceedings of the 6th ACM international conference on image and video retrieval, pp 549–556. https://doi.org/10.1145/1282280.1282359

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